A Prudent Power Management Algorithm for Energy Storage Systems in Electric Vehicles Using Fuzzy for Synergising

In coming age electric vehicle (EV) and hybrid electric vehicles (HEV) will be answer to all our psychological, sociological, and environmental ailments. The basic problem pertaining to the wider spread of the state of art technologies is they lack autonomy and large mobility as compared to existing internal combustion (IC) engine cars. Here there is a method designed and simulated for increasing range of EV so that they become comparable to IC engine cars. This is achieved through a better way of battery power management for which a pru-dent power management algorithm is designed, in terms of vehicle performance with only slight degradation present in terms of speed and acceleration. The proposed fuzzy prudent power management (FPPM) system is implemented by taking into account a driver's typical behaviour when state of charge (SOC) approaches its lowest permissible level. In such a case, the driver is likely to limit battery exploitations by slowing down and/or accelerating the car. Thus this paper deals with battery management and input torque control using fuzzy log-ic, of EV for increasing longevity in a single trip.